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Ahmed Oumar El-Shangiti

Ahmed Oumar El-Shangiti has 5 papers in our library, in 2023–2024, most of them on Semitic languages, Text generation, Named entity recognition; often with Muhammad Abdul-Mageed, El Moatez Billah Nagoudi, Karima Kadaoui.

5 papers in our library · 2023–2024

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📄 5 works in our library · 🔗 Cited 113 times in our library · ⭐ Paper Stars ranking: #6776

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Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

 Works by year

2020s

 Papers

The most cited first (OpenAlex and our library).

  1. TARJAMAT: Evaluation of Bard and ChatGPT on Machine Translation of Ten Arabic Varieties (2023 · 60 citations)
    The paper asks how well instruction-tuned LLMs translate across the Arabic language family, which includes older, standard, and regional forms.
  2. Casablanca: Data and Models for Multidialectal Arabic Speech Recognition (2024 · 45 citations)
    Arabic speech recognition still lacks reliable, manually labeled data for regional varieties. Most large Arabic corpora are dominated by MSA or were transcribed with light supervision. Casablanca addresses this with a community-built corpus of about 48 hours of speech from YouTube TV-series episodes. Its eight…
  3. Dolphin: A Challenging and Diverse Benchmark for Arabic NLG (2023 · 35 citations)
    Arabic is a large family of varieties, from Classical Arabic through Modern Standard Arabic (MSA) to many regional dialects, and it is also written in Latin script (Arabizi).
  4. Arabic Fine-Grained Entity Recognition (2023 · 24 citations)
    Most named-entity recognizers assign only broad labels such as organization or location. This paper adds a finer layer for Arabic. Previously, the only Arabic resource with subtypes was the costly and ageing ACE2005. The authors instead extended the open Wojood corpus (550K tokens, 21 nested entity types, mostly MSA…
  5. Arabic Automatic Story Generation with Large Language Models (2024 · 9 citations)
    Arabic has lagged behind English in LLM-based story generation, mostly because short Arabic story data is scarce.

 Co-authors here

12 of 13 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 113 times (of the 149,439 papers whose bibliographies we read); 88 citing papers with a page here →.

Updated

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